d-Matrix vs Applied Materials
Side-by-side comparison of AI visibility scores, market position, and capabilities
d-Matrix builds in-memory AI inference accelerator chips (Corsair) that deliver 10x faster inference at 3x lower cost than GPU-based systems; raised $275M Series C at a $2B valuation in November 2025; Raptor chip due 2026.
About
d-Matrix is a Santa Clara-based AI semiconductor company founded in 2019, developing purpose-built inference accelerator hardware that challenges Nvidia''s dominance in AI compute. Its flagship Corsair inference accelerator card uses in-memory computing (IMC) architecture — performing computations directly inside the memory arrays rather than moving data between separate processing and memory units. This eliminates the "memory wall" bottleneck that limits GPU-based inference performance for large language models and generative AI workloads, enabling what d-Matrix claims is 10x faster inference, 3x lower cost, and 3–5x better energy efficiency versus GPU systems.
Santa Clara semiconductor equipment (NASDAQ: AMAT) ~$27.2B FY2024 revenue; world's largest semiconductor equipment company, HBM advanced packaging for AI GPUs, 50,000+ tools worldwide competing with ASML and Lam Research.
About
Applied Materials, Inc. is a Santa Clara, California-based semiconductor and display equipment company — publicly traded on NASDAQ (NASDAQ: AMAT) as an S&P 500 Information Technology component — providing manufacturing equipment, services, and software used to fabricate virtually every chip and advanced display in the world through approximately 35,000 employees serving foundries, integrated device manufacturers, and memory makers in 24 countries. Applied Materials is the world's largest semiconductor equipment company by revenue, supplying deposition (CVD, PVD, ALD), etch, ion implant, chemical mechanical planarization (CMP), metrology and inspection, and advanced packaging equipment to leading chipmakers including TSMC, Samsung, Intel, SK Hynix, and Micron. In fiscal year 2024 (ending October 2024), Applied Materials reported revenue of approximately $27.2 billion, with strong demand driven by leading-edge foundry investments at TSMC and Samsung for AI accelerator chips and advanced memory for HBM (high-bandwidth memory) stacks used in NVIDIA and AMD AI GPUs. The company's Semiconductor Systems segment commands the largest market share of any equipment category, while the Applied Global Services (AGS) segment generates recurring spare parts and service revenue from the installed base of 50,000+ tools operating worldwide. CEO Gary Dickerson has led Applied Materials' strategy of expanding beyond commodity deposition and etch into advanced packaging, gate-all-around transistor manufacturing, and materials engineering — where Applied's breadth of materials deposition capabilities creates competitive differentiation.
Key Details
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.